Abstract—Indoor positioning systems have received increasing attention for supporting location-based services in indoor environ-ments. WiFi-based indoor localization has been attractive due to its open access and low cost properties. However, the distance estimation based on received signal

Abstract—Indoor positioning systems have received increasing attention for supporting location-based services in indoor en-vironments. WiFi-based indoor localization has been attractive due to its open access and low cost properties. However, the distance estimation based on received signal

that characterizes developmental change in behavioral inhibition. The term behavioral inhibition is used to describe temperamental differences in infants' and young children's initial reactions to a range of novel stimuli including people, objects, contexts, and challenging situations Fox and Rubin have

Abstract. We present a novel user interface concept for indoor navigation which uses directional arrows and panorama images of decision points, such as turns, along the route. The interface supports the mental model of landmark-based navigation, can be used on- and offline, and is highly tolerant

An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate local specific services. Recent advances in vision have made this modality a viable alternative to the traditional range

sensing systems, MAQS users carry portable, indoor location tracking sensors that provide personalized IAQ information. To improve accuracy and energy efficiency, MAQS incorporates three novel techniques: (1) an accurate temporal n-gram augmented Bayesian room localization method that requires few Wi

major knock on effect on the rest of the health and social care system. Objective and Methods A rapid survey was undertaken of a small number of care homes in West Yorkshire to assess preparedness. The homes were both local authority and privately owned. Results It was apparent that little preparation

An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate local specific services. Recent advances in vision have made this modality a viable alternative to the traditional range

of the vision-based localization technique, such as varying quality of the query images. We implemented a novel UI for visual localization, consisting of Virtual Reality (VR) and Augmented Reality (AR) views that actively communicate and ensure localization accuracy. If necessary, the system encourages the user

one such opportunity by suggesting a reform on how the care needs of residents living in Australian residential aged care facilities (RACF) are assessed. A recent study has shown that the current assessment system, known as the Residential Classification Scale (RCS), is subjected to high